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Values in words: Using language to evaluate and understand personal values

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Values in words: Using language to evaluate and understand personal values. / Boyd, Ryan L.; Wilson, Steven R.; Pennebaker, James W. et al.
Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015. AAAI, 2015. p. 31-40.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Boyd, RL, Wilson, SR, Pennebaker, JW, Kosinski, M, Stillwell, DJ & Mihalcea, R 2015, Values in words: Using language to evaluate and understand personal values. in Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015. AAAI, pp. 31-40, 9th International Conference on Web and Social Media, ICWSM 2015, Oxford, United Kingdom, 26/05/15. <https://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10482>

APA

Boyd, R. L., Wilson, S. R., Pennebaker, J. W., Kosinski, M., Stillwell, D. J., & Mihalcea, R. (2015). Values in words: Using language to evaluate and understand personal values. In Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015 (pp. 31-40). AAAI. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10482

Vancouver

Boyd RL, Wilson SR, Pennebaker JW, Kosinski M, Stillwell DJ, Mihalcea R. Values in words: Using language to evaluate and understand personal values. In Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015. AAAI. 2015. p. 31-40

Author

Boyd, Ryan L. ; Wilson, Steven R. ; Pennebaker, James W. et al. / Values in words : Using language to evaluate and understand personal values. Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015. AAAI, 2015. pp. 31-40

Bibtex

@inproceedings{f84cc6001bf244299ab269a45c9551c4,
title = "Values in words: Using language to evaluate and understand personal values",
abstract = "People's values provide a decision-making framework that helps guide their everyday actions. Most popular methods of assessing values show tenuous relationships with everyday behaviors. Using a new Amazon Mechanical Turk dataset(N = 767) consisting of people's language, values, and behaviors, we explore the degree to which attaining {"}ground truth{"} is possible with regards to such complicated mental phenomena. We then apply our findings to a corpus of Facebook user (N = 130; 828) status updates in order to understand how core values influence the personal thoughts and behaviors that users share through social media. Our findings suggest that self-report questionnaires for abstract and complex phenomena, such as values, are inadequate for painting an accurate picture of individual mental life. Free response language data and language modeling show greater promise for understanding both the structure and content of concepts such as values and, additionally, exhibit a predictive edge over self-report questionnaires.",
author = "Boyd, {Ryan L.} and Wilson, {Steven R.} and Pennebaker, {James W.} and Michal Kosinski and Stillwell, {David J.} and Rada Mihalcea",
year = "2015",
month = may,
day = "26",
language = "English",
pages = "31--40",
booktitle = "Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015",
publisher = "AAAI",
note = "9th International Conference on Web and Social Media, ICWSM 2015 ; Conference date: 26-05-2015 Through 29-05-2015",

}

RIS

TY - GEN

T1 - Values in words

T2 - 9th International Conference on Web and Social Media, ICWSM 2015

AU - Boyd, Ryan L.

AU - Wilson, Steven R.

AU - Pennebaker, James W.

AU - Kosinski, Michal

AU - Stillwell, David J.

AU - Mihalcea, Rada

PY - 2015/5/26

Y1 - 2015/5/26

N2 - People's values provide a decision-making framework that helps guide their everyday actions. Most popular methods of assessing values show tenuous relationships with everyday behaviors. Using a new Amazon Mechanical Turk dataset(N = 767) consisting of people's language, values, and behaviors, we explore the degree to which attaining "ground truth" is possible with regards to such complicated mental phenomena. We then apply our findings to a corpus of Facebook user (N = 130; 828) status updates in order to understand how core values influence the personal thoughts and behaviors that users share through social media. Our findings suggest that self-report questionnaires for abstract and complex phenomena, such as values, are inadequate for painting an accurate picture of individual mental life. Free response language data and language modeling show greater promise for understanding both the structure and content of concepts such as values and, additionally, exhibit a predictive edge over self-report questionnaires.

AB - People's values provide a decision-making framework that helps guide their everyday actions. Most popular methods of assessing values show tenuous relationships with everyday behaviors. Using a new Amazon Mechanical Turk dataset(N = 767) consisting of people's language, values, and behaviors, we explore the degree to which attaining "ground truth" is possible with regards to such complicated mental phenomena. We then apply our findings to a corpus of Facebook user (N = 130; 828) status updates in order to understand how core values influence the personal thoughts and behaviors that users share through social media. Our findings suggest that self-report questionnaires for abstract and complex phenomena, such as values, are inadequate for painting an accurate picture of individual mental life. Free response language data and language modeling show greater promise for understanding both the structure and content of concepts such as values and, additionally, exhibit a predictive edge over self-report questionnaires.

M3 - Conference contribution/Paper

AN - SCOPUS:84960958124

SP - 31

EP - 40

BT - Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015

PB - AAAI

Y2 - 26 May 2015 through 29 May 2015

ER -